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Load balancing using a Hybrid Crystal Structure and Political Optimization Algorithm in Cloud computing

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Load balancing using a Hybrid Crystal Structure and Political Optimization Algorithm in Cloud computing

Description

In this code, Load balancing of tasks on the cloud environment is an important aspect of distributing resources from a data center. Cloud computing agonizes from overloading of requests. Load balancing has to be carried out in such a manner that all virtual machines (VM) should have balanced load to achieve optimal utilization of its capabilities. This paper proposes a dynamic balancing of load among the virtual machines using Hybrid Crystal Structure and Political Optimizer Algorithm named as (HCPO). Finally, the processing time taken by the data center, cost and overall response time is good from both these algorithms mentioned.

Input

Configuration Simulation

Output

Overall response time of load balancing simulation

Tags

#load, #balancing, #task, #cloud, #environment, #storage, # services, #performance, #resources, #data, #center, #providers, #overloading, #requests, #virtual, #machine, #challenges, #requirements, #scheduling, #efficiency, # dynamic, #resources, #Crystal, #priority, #Political, #Optimizer, #users, #processing, #time, #breakdown, #issues.

Reference

[1] Rathore, J., Keswani, B. and Rathore, V.S., 2019. Analysis of load balancing algorithms using cloud analyst. In Emerging trends in expert applications and security (pp. 291-298). Springer, Singapore. [2] Arulkumar, V. and Bhalaji, N., 2021. Performance analysis of nature inspired load balancing algorithm in cloud environment. Journal of Ambient Intelligence and Humanized Computing, 12(3), pp.3735-3742.